@inproceedings{goel-etal-2019-event,
title = "Event Centric Entity Linking for {H}indi News Articles: A Knowledge Graph Based Approach",
author = "Goel, Pranav and
Prabhu, Suhan and
Debnath, Alok and
Shrivastava, Manish",
editor = "Sharma, Dipti Misra and
Bhattacharya, Pushpak",
booktitle = "Proceedings of the 16th International Conference on Natural Language Processing",
month = dec,
year = "2019",
address = "International Institute of Information Technology, Hyderabad, India",
publisher = "NLP Association of India",
url = "https://aclanthology.org/2019.icon-1.6",
pages = "45--55",
abstract = "We describe the development of a knowledge graph from an event annotated corpus by presenting a pipeline that identifies and extracts the relations between entities and events from Hindi news articles. Due to the semantic implications of argument identification for events in Hindi, we use a combined syntactic argument and semantic role identification methodology. To the best of our knowledge, no other architecture exists for this purpose. The extracted combined role information is incorporated in a knowledge graph that can be queried via subgraph extraction for basic questions. The architectures presented in this paper can be used for participant extraction and event-entity linking in most Indo-Aryan languages, due to similar syntactic and semantic properties of event arguments.",
}
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%0 Conference Proceedings
%T Event Centric Entity Linking for Hindi News Articles: A Knowledge Graph Based Approach
%A Goel, Pranav
%A Prabhu, Suhan
%A Debnath, Alok
%A Shrivastava, Manish
%Y Sharma, Dipti Misra
%Y Bhattacharya, Pushpak
%S Proceedings of the 16th International Conference on Natural Language Processing
%D 2019
%8 December
%I NLP Association of India
%C International Institute of Information Technology, Hyderabad, India
%F goel-etal-2019-event
%X We describe the development of a knowledge graph from an event annotated corpus by presenting a pipeline that identifies and extracts the relations between entities and events from Hindi news articles. Due to the semantic implications of argument identification for events in Hindi, we use a combined syntactic argument and semantic role identification methodology. To the best of our knowledge, no other architecture exists for this purpose. The extracted combined role information is incorporated in a knowledge graph that can be queried via subgraph extraction for basic questions. The architectures presented in this paper can be used for participant extraction and event-entity linking in most Indo-Aryan languages, due to similar syntactic and semantic properties of event arguments.
%U https://aclanthology.org/2019.icon-1.6
%P 45-55
Markdown (Informal)
[Event Centric Entity Linking for Hindi News Articles: A Knowledge Graph Based Approach](https://aclanthology.org/2019.icon-1.6) (Goel et al., ICON 2019)
ACL